Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift
Bluetooth positioning is an important and challenging topic in indoor positioning. Although a lot of algorithms have been proposed for this problem, it is still not solved perfectly because of the instable signal strengths of Bluetooth. To improve the performance of Bluetooth positioning, this artic...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717706681 |
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| _version_ | 1832555309674004480 |
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| author | Qi Wang Rui Sun Xiangde Zhang Yanrui Sun Xiaojun Lu |
| author_facet | Qi Wang Rui Sun Xiangde Zhang Yanrui Sun Xiaojun Lu |
| author_sort | Qi Wang |
| collection | DOAJ |
| description | Bluetooth positioning is an important and challenging topic in indoor positioning. Although a lot of algorithms have been proposed for this problem, it is still not solved perfectly because of the instable signal strengths of Bluetooth. To improve the performance of Bluetooth positioning, this article proposes a coarse-to-fine positioning method based on weighted K-nearest neighbors and adaptive bandwidth mean shift. The method first employs weighted K-nearest neighbors to generate multi-candidate locations. Then, the testing position is obtained by applying adaptive bandwidth mean shift to the multi-candidate locations, which is used to search for the maximum density of the candidate locations. Experimental result indicates that the proposed method improves the performance of Bluetooth positioning. |
| format | Article |
| id | doaj-art-5caa0825f7cd4dda8e0f6b6350788338 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-5caa0825f7cd4dda8e0f6b63507883382025-02-03T05:48:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-05-011310.1177/1550147717706681Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shiftQi WangRui SunXiangde ZhangYanrui SunXiaojun LuBluetooth positioning is an important and challenging topic in indoor positioning. Although a lot of algorithms have been proposed for this problem, it is still not solved perfectly because of the instable signal strengths of Bluetooth. To improve the performance of Bluetooth positioning, this article proposes a coarse-to-fine positioning method based on weighted K-nearest neighbors and adaptive bandwidth mean shift. The method first employs weighted K-nearest neighbors to generate multi-candidate locations. Then, the testing position is obtained by applying adaptive bandwidth mean shift to the multi-candidate locations, which is used to search for the maximum density of the candidate locations. Experimental result indicates that the proposed method improves the performance of Bluetooth positioning.https://doi.org/10.1177/1550147717706681 |
| spellingShingle | Qi Wang Rui Sun Xiangde Zhang Yanrui Sun Xiaojun Lu Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift International Journal of Distributed Sensor Networks |
| title | Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift |
| title_full | Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift |
| title_fullStr | Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift |
| title_full_unstemmed | Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift |
| title_short | Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift |
| title_sort | bluetooth positioning based on weighted k nearest neighbors and adaptive bandwidth mean shift |
| url | https://doi.org/10.1177/1550147717706681 |
| work_keys_str_mv | AT qiwang bluetoothpositioningbasedonweightedknearestneighborsandadaptivebandwidthmeanshift AT ruisun bluetoothpositioningbasedonweightedknearestneighborsandadaptivebandwidthmeanshift AT xiangdezhang bluetoothpositioningbasedonweightedknearestneighborsandadaptivebandwidthmeanshift AT yanruisun bluetoothpositioningbasedonweightedknearestneighborsandadaptivebandwidthmeanshift AT xiaojunlu bluetoothpositioningbasedonweightedknearestneighborsandadaptivebandwidthmeanshift |